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Memory Aware Synapses: Learning what (not) to forget

Memory Aware Synapses: Learning what (not) to forget

27 November 2017
Rahaf Aljundi
F. Babiloni
Mohamed Elhoseiny
Marcus Rohrbach
Tinne Tuytelaars
    KELM
    CLL
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Papers citing "Memory Aware Synapses: Learning what (not) to forget"

50 / 308 papers shown
Title
AGALE: A Graph-Aware Continual Learning Evaluation Framework
AGALE: A Graph-Aware Continual Learning Evaluation Framework
Tianqi Zhao
Alan Hanjalic
Megha Khosla
40
1
0
03 Jun 2024
A Classifier-Free Incremental Learning Framework for Scalable Medical
  Image Segmentation
A Classifier-Free Incremental Learning Framework for Scalable Medical Image Segmentation
Xiaoyang Chen
Hao Zheng
Yifang Xie
Yuncong Ma
Tengfei Li
CLL
48
0
0
25 May 2024
FeTT: Continual Class Incremental Learning via Feature Transformation
  Tuning
FeTT: Continual Class Incremental Learning via Feature Transformation Tuning
Sunyuan Qiang
Xuxin Lin
Yanyan Liang
Jun Wan
Du Zhang
CLL
48
1
0
20 May 2024
Hard ASH: Sparsity and the right optimizer make a continual learner
Hard ASH: Sparsity and the right optimizer make a continual learner
Santtu Keskinen
CLL
42
1
0
26 Apr 2024
A Unified Replay-based Continuous Learning Framework for Spatio-Temporal
  Prediction on Streaming Data
A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data
Hao Miao
Yan Zhao
Chenjuan Guo
Bin Yang
Kai Zheng
Feiteng Huang
Jiandong Xie
Christian S. Jensen
AI4TS
CLL
44
30
0
23 Apr 2024
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning
Chenxing Hong
Yan Jin
Zhiqi Kang
Yizhou Chen
Mengke Li
Yang Lu
Hanzi Wang
44
3
0
23 Apr 2024
Brain-Inspired Continual Learning-Robust Feature Distillation and
  Re-Consolidation for Class Incremental Learning
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning
Hikmat Khan
N. Bouaynaya
Ghulam Rasool
CLL
38
1
0
22 Apr 2024
Continual Learning on a Diet: Learning from Sparsely Labeled Streams
  Under Constrained Computation
Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation
Wenxuan Zhang
Youssef Mohamed
Guohao Li
Philip Torr
Adel Bibi
Mohamed Elhoseiny
CLL
48
5
0
19 Apr 2024
Toward industrial use of continual learning : new metrics proposal for
  class incremental learning
Toward industrial use of continual learning : new metrics proposal for class incremental learning
Mohamed Abbas Konaté
A. Yao
T. Chateau
P. Bouges
CLL
24
0
0
10 Apr 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Huiyi Wang
Haodong Lu
Lina Yao
Dong Gong
KELM
CLL
48
9
0
27 Mar 2024
Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness
Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness
Jaeill Kim
Wonseok Lee
Moonjung Eo
Wonjong Rhee
CLL
49
0
0
22 Mar 2024
Hyperparameters in Continual Learning: A Reality Check
Hyperparameters in Continual Learning: A Reality Check
Sungmin Cha
Kyunghyun Cho
CLL
71
2
0
14 Mar 2024
COPR: Continual Human Preference Learning via Optimal Policy
  Regularization
COPR: Continual Human Preference Learning via Optimal Policy Regularization
Han Zhang
Lin Gui
Yu Lei
Yuanzhao Zhai
Yehong Zhang
...
Hui Wang
Yue Yu
Kam-Fai Wong
Bin Liang
Ruifeng Xu
CLL
39
4
0
22 Feb 2024
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based
  Graph Continual Learning
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning
Seungyoon Choi
Wonjoong Kim
Sungwon Kim
Yeonjun In
Sein Kim
Chanyoung Park
CLL
30
5
0
21 Feb 2024
Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning
Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning
Zhaorui Yang
Tianyu Pang
H. Feng
Han Wang
Wei Chen
Minfeng Zhu
Qian Liu
ALM
40
37
0
21 Feb 2024
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
47
5
0
09 Feb 2024
Towards Open-World Gesture Recognition
Towards Open-World Gesture Recognition
Junxiao Shen
Matthias De Lange
X. Xu
Enmin Zhou
Ran Tan
Naveen Suda
Maciej Lazarewicz
Per Ola Kristensson
Amy Karlson
Evan Strasnick
20
3
0
20 Jan 2024
Machine unlearning through fine-grained model parameters perturbation
Machine unlearning through fine-grained model parameters perturbation
Zhiwei Zuo
Zhuo Tang
KenLi Li
Anwitaman Datta
AAML
MU
26
0
0
09 Jan 2024
Read Between the Layers: Leveraging Multi-Layer Representations for
  Rehearsal-Free Continual Learning with Pre-Trained Models
Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models
Kyra Ahrens
Hans Hergen Lehmann
Jae Hee Lee
Stefan Wermter
CLL
35
7
0
13 Dec 2023
Continual Learning through Networks Splitting and Merging with
  Dreaming-Meta-Weighted Model Fusion
Continual Learning through Networks Splitting and Merging with Dreaming-Meta-Weighted Model Fusion
Yi Sun
Xin Xu
Jian Li
Guanglei Xie
Yifei Shi
Qiang Fang
CLL
MoMe
34
1
0
12 Dec 2023
Benchmarking Continual Learning from Cognitive Perspectives
Benchmarking Continual Learning from Cognitive Perspectives
Xiaoqian Liu
Junge Zhang
Mingyi Zhang
Peipei Yang
21
0
0
06 Dec 2023
Prompt-Based Exemplar Super-Compression and Regeneration for
  Class-Incremental Learning
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning
Ruxiao Duan
Yaoyao Liu
Jieneng Chen
Adam Kortylewski
Alan Yuille
DiffM
VLM
38
1
0
30 Nov 2023
Efficient Rehearsal Free Zero Forgetting Continual Learning using
  Adaptive Weight Modulation
Efficient Rehearsal Free Zero Forgetting Continual Learning using Adaptive Weight Modulation
Yonatan Sverdlov
Shimon Ullman
29
0
0
26 Nov 2023
CUCL: Codebook for Unsupervised Continual Learning
CUCL: Codebook for Unsupervised Continual Learning
Chen Cheng
Jingkuan Song
Xiaosu Zhu
Junchen Zhu
Lianli Gao
H. Shen
CLL
25
2
0
25 Nov 2023
Continual Referring Expression Comprehension via Dual Modular
  Memorization
Continual Referring Expression Comprehension via Dual Modular Memorization
Hengtao Shen
Cheng Chen
Peng Wang
Lianli Gao
Ming Wang
Jingkuan Song
ObjD
35
3
0
25 Nov 2023
Two Complementary Perspectives to Continual Learning: Ask Not Only What
  to Optimize, But Also How
Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How
Timm Hess
Tinne Tuytelaars
Gido M. van de Ven
44
7
0
08 Nov 2023
Class Incremental Learning with Pre-trained Vision-Language Models
Class Incremental Learning with Pre-trained Vision-Language Models
Xialei Liu
Xusheng Cao
Haori Lu
Jia-Wen Xiao
Andrew D. Bagdanov
Ming-Ming Cheng
VLM
25
12
0
31 Oct 2023
Continual Named Entity Recognition without Catastrophic Forgetting
Continual Named Entity Recognition without Catastrophic Forgetting
Duzhen Zhang
Wei Cong
Jiahua Dong
Yahan Yu
Xiuyi Chen
Yonggang Zhang
Zhen Fang
28
10
0
23 Oct 2023
A Unified Approach to Domain Incremental Learning with Memory: Theory
  and Algorithm
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
Haizhou Shi
Hao Wang
CLL
34
19
0
18 Oct 2023
Rethinking Class-incremental Learning in the Era of Large Pre-trained
  Models via Test-Time Adaptation
Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time Adaptation
Imad Eddine Marouf
Subhankar Roy
Enzo Tartaglione
Stéphane Lathuilière
CLL
29
3
0
17 Oct 2023
Overcoming Recency Bias of Normalization Statistics in Continual
  Learning: Balance and Adaptation
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation
Yilin Lyu
Liyuan Wang
Xingxing Zhang
Zicheng Sun
Hang Su
Jun Zhu
Liping Jing
34
8
0
13 Oct 2023
Federated Class-Incremental Learning with Prompting
Federated Class-Incremental Learning with Prompting
Jiale Liu
Yu-Wei Zhan
Chong-Yu Zhang
Xin Luo
Zhen-Duo Chen
Yinwei Wei
CLL
FedML
29
2
0
13 Oct 2023
CoinSeg: Contrast Inter- and Intra- Class Representations for
  Incremental Segmentation
CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation
Zekang Zhang
Guangyu Gao
Jianbo Jiao
C. Liu
Yunchao Wei
48
21
0
10 Oct 2023
Unlearning with Fisher Masking
Unlearning with Fisher Masking
Yufang Liu
Changzhi Sun
Yuanbin Wu
Aimin Zhou
MU
23
5
0
09 Oct 2023
Clustering-based Domain-Incremental Learning
Clustering-based Domain-Incremental Learning
Christiaan Lamers
René Vidal
A. Belbachir
Niki van Stein
Thomas Baeck
Paris Giampouras
CLL
OOD
32
10
0
21 Sep 2023
CaT: Balanced Continual Graph Learning with Graph Condensation
CaT: Balanced Continual Graph Learning with Graph Condensation
Yilun Liu
Ruihong Qiu
Zi Huang
DD
42
37
0
18 Sep 2023
Plasticity-Optimized Complementary Networks for Unsupervised Continual
  Learning
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning
Alex Gomez-Villa
Bartlomiej Twardowski
Kai Wang
Joost van de Weijer
SSL
CLL
33
8
0
12 Sep 2023
Online Continual Learning on Hierarchical Label Expansion
Online Continual Learning on Hierarchical Label Expansion
Byung Hyun Lee
Ok-Cheol Jung
Jonghyun Choi
S. Chun
CLL
36
8
0
28 Aug 2023
Category Adaptation Meets Projected Distillation in Generalized
  Continual Category Discovery
Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery
Grzegorz Rype'sć
Daniel Marczak
Sebastian Cygert
Tomasz Trzciñski
Bartlomiej Twardowski
VLM
CLL
35
2
0
23 Aug 2023
GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive
  Language-Image Pre-training
GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training
Xi Deng
Han Shi
Runhu Huang
Changlin Li
Hang Xu
Jianhua Han
James T. Kwok
Shen Zhao
Wei Zhang
Xiaodan Liang
CLIP
VLM
29
3
0
22 Aug 2023
On the Effectiveness of LayerNorm Tuning for Continual Learning in
  Vision Transformers
On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers
Thomas De Min
Massimiliano Mancini
Alahari Karteek
Xavier Alameda-Pineda
Elisa Ricci
CLL
29
9
0
18 Aug 2023
Heterogeneous Forgetting Compensation for Class-Incremental Learning
Heterogeneous Forgetting Compensation for Class-Incremental Learning
Jiahua Dong
Wenqi Liang
Yang Cong
Gan Sun
CLL
26
19
0
07 Aug 2023
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio
  Detection
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection
Xiaohui Zhang
Jiangyan Yi
J. Tao
Chenglong Wang
Chuyuan Zhang
CLL
36
23
0
07 Aug 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental
  Learning and Its Variants
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants
Yibo Yang
Haobo Yuan
Hefei Ling
Jianlong Wu
Lefei Zhang
Zhouchen Lin
Philip Torr
Dacheng Tao
Guohao Li
CLL
31
8
0
03 Aug 2023
Online Prototype Learning for Online Continual Learning
Online Prototype Learning for Online Continual Learning
Yujie Wei
Jiaxin Ye
Zhizhong Huang
Junping Zhang
Hongming Shan
CLL
OnRL
33
39
0
01 Aug 2023
Self-paced Weight Consolidation for Continual Learning
Self-paced Weight Consolidation for Continual Learning
Wei Cong
Yang Cong
Gan Sun
Yuyang Liu
Jiahua Dong
CLL
29
14
0
20 Jul 2023
TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID
  Inference using Transformer Nearest-Centroid Embeddings
TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference using Transformer Nearest-Centroid Embeddings
Gusseppe Bravo Rocca
Peini Liu
Jordi Guitart
Ajay Dholakia
David Ellison
32
1
0
21 Jun 2023
Evolving Knowledge Mining for Class Incremental Segmentation
Evolving Knowledge Mining for Class Incremental Segmentation
Zhihe Lu
Shuicheng Yan
Xinchao Wang
CLL
41
0
0
03 Jun 2023
Learning without Forgetting for Vision-Language Models
Learning without Forgetting for Vision-Language Models
Da-Wei Zhou
Yuanhan Zhang
Jingyi Ning
Jingyi Ning
De-Chuan Zhan
De-Chuan Zhan
Ziwei Liu
VLM
CLL
74
37
0
30 May 2023
SHARP: Sparsity and Hidden Activation RePlay for Neuro-Inspired
  Continual Learning
SHARP: Sparsity and Hidden Activation RePlay for Neuro-Inspired Continual Learning
Mustafa Burak Gurbuz
J. M. Moorman
Constantinos Dovrolis
CLL
34
0
0
29 May 2023
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